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Maths for scientists

See below for a selection of the latest books from Maths for scientists category. Presented with a red border are the Maths for scientists books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Maths for scientists books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Introduction to Mathematical Immunobiology of Cancer

Introduction to Mathematical Immunobiology of Cancer

Author: V. A. Kuznetsov Format: Hardback Release Date: 29/02/2020

In this book, actual problems of immune cells interaction with tumours are discussed in terms of the biological kinetics, theoretical biophysics, nonlinear systems and pattern recognition principles. On the basis of the detailed analysis of experimental and clinical data, mathematical models of tumour cells immune recognition mechanisms, co-operative phenomena, immune response dynamics in the whole are described and investigated. Modern mathematical methods are involved in the analysis of the models. Attention is paid to the determination of temporal and quantitative parameters of the ligand-receptor interactions, the processes of tumour cells interaction with different classes of immune cells and monoclonal antibodies.

Political Geometry

Political Geometry

Author: Moon Duchin Format: Hardback Release Date: 11/01/2020

Even though gerrymandering stretches US voting districts into absurd geometric complexity, this book shows how the guiding principles of sound mathematics can still be used to measure and demonstrate how unfairly partisan they have become. Anyone interested in the technical trickery of gerrymandered districts will benefit from an understanding of the mathematical spaces they exist in. Drawing from a series of workshops at Tufts University for training mathematicians to be expert witnesses in court cases about redistricting and gerrymandering, academics working in the legal system, public policy, and mathematics weigh in on the legal history of the Voting Rights Act and its subsequent renewals, extensions, and clarifications; traditional districting principles, especially compactness; metric geometry and mathematical ideas for perimeter-free compactness; basic rudiments of GIS and the technical side of how shapefiles work; the role of a mathematician as an expert witness; ideas for incorporating voting and civil rights into mathematics teaching.

World Women in Mathematics 2018 Proceedings of the First World Meeting for Women in Mathematics (WM)(2)

World Women in Mathematics 2018 Proceedings of the First World Meeting for Women in Mathematics (WM)(2)

Author: Carolina Araujo Format: Hardback Release Date: 08/12/2019

The first World Meeting for Women in Mathematics - (WM)(2) - was a satellite event of the International Congress of Mathematicians (ICM) 2018 in Rio de Janeiro. With a focus on Latin America, the first (WM)(2) brought together mathematicians from all over the world to celebrate women mathematicians, and also to reflect on gender issues in mathematics, challenges, initiatives, and perspectives for the future. Its activities were complemented by a panel discussion organized by the Committee for Women in Mathematics (CWM) of the International Mathematical Union (IMU) inside the ICM 2018 entitled The gender gap in mathematical and natural sciences from a historical perspective . This historical proceedings book, organized by CWM in coordination with the Association for Women in Mathematics, records the first (WM)(2) and the CWM panel discussion at ICM 2018. The first part of the volume includes a report of activities with pictures of the first (WM)(2) and a tribute to Maryam Mirzakhani, the first woman to be awarded the Fields medal. It also comprises survey research papers from invited lecturers, which provide panoramic views of different fields in pure and applied mathematics. The second part of the book contains articles from the panelists of the CWM panel discussion, which consider the historical context of the gender gap in mathematics. It includes an analysis of women lecturers in the ICM since its inception. This book is dedicated to the memory of Maryam Mirzakhani.

CBMS-NSF Regional Conference Series in Applied Mathematics An Introduction to Structured Population Dynamics

CBMS-NSF Regional Conference Series in Applied Mathematics An Introduction to Structured Population Dynamics

Author: J. M. Cushing Format: Paperback / softback Release Date: 11/11/2019

Interest in the temporal fluctuations of biological populations can be traced to the dawn of civilization. How can mathematics be used to gain an understanding of population dynamics? This monograph introduces the theory of structured population dynamics and its applications, focusing on the asymptotic dynamics of deterministic models. This theory bridges the gap between the characteristics of individual organisms in a population and the dynamics of the total population as a whole. In this monograph, many applications that illustrate both the theory and a wide variety of biological issues are given, along with an interdisciplinary case study that illustrates the connection of models with the data and the experimental documentation of model predictions. The author also discusses the use of discrete and continuous models and presents a general modeling theory for structured population dynamics.

Traffic and Granular Flow '17

Traffic and Granular Flow '17

Author: Samer H. Hamdar Format: Hardback Release Date: 24/10/2019

This book presents 57 peer-reviewed papers from the 12th Conference on Traffic and Granular Flow (TGF) held in Washington, DC, in July 2017. It offers a unique synthesis of the latest scientific findings made by researchers from different countries, institutions and disciplines. The research fields covered range from physics, computer science and engineering and they may be all grouped under the topic of Traffic and Granular Flow . The main theme of the Conference was: From Molecular Interactions to Internet of Things and Smart Cities: The Role of Technology in the Understanding and the Evolution of Particle Dynamics .

Difference Equations For Scientists And Engineering: Interdisciplinary Difference Equations

Difference Equations For Scientists And Engineering: Interdisciplinary Difference Equations

Author: Michael A (Rochester Inst Of Technology, Usa) Radin Format: Paperback / softback Release Date: 03/10/2019

We introduce interdisciplinary research and get students and the audience familiarized with the difference equations; solving them explicitly, determining the long-term behavior of solutions (convergence, boundedness and periodicity). We help to develop intuition in analyzing convergence of solutions in terms of subsequences and analyzing patterns of periodic cycles. Our book helps you learn applications in biology, economics and business, computer science and engineering.

Difference Equations For Scientists And Engineering: Interdisciplinary Difference Equations

Difference Equations For Scientists And Engineering: Interdisciplinary Difference Equations

Author: Michael A (Rochester Inst Of Technology, Usa) Radin Format: Hardback Release Date: 03/10/2019

We introduce interdisciplinary research and get students and the audience familiarized with the difference equations; solving them explicitly, determining the long-term behavior of solutions (convergence, boundedness and periodicity). We help to develop intuition in analyzing convergence of solutions in terms of subsequences and analyzing patterns of periodic cycles. Our book helps you learn applications in biology, economics and business, computer science and engineering.

Advanced Mathematical Methods in Biosciences and Applications

Advanced Mathematical Methods in Biosciences and Applications

Author: Faina Berezovskaya Format: Hardback Release Date: 01/10/2019

Featuring contributions from experts in mathematical biology and biomedical research, this edited volume covers a diverse set of topics on mathematical methods and applications in the biosciences. Topics focus on advanced mathematical methods, with chapters on the mathematical analysis of the quasispecies model, Arnold's weak resonance equation, bifurcation analysis, and the Tonnelier-Gerstner model. Special emphasis is placed on applications such as natural selection, population heterogeneity, polyvariant ontogeny in plants, cancer dynamics, and analytical solutions for traveling pulses and wave trains in neural models. A survey on quasiperiodic topology is also presented in this book. Carefully peer-reviewed, this volume is suitable for students interested in interdisciplinary research. Researchers in applied mathematics and the biosciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

Chi-Squared Data Analysis and Model Testing for Beginners

Chi-Squared Data Analysis and Model Testing for Beginners

Recent groundbreaking discoveries in physics, including the discovery of the Higgs Boson and gravitational waves, have relied on chi-squared analysis and model testing, a data analysis method. This is the first book to make chi-squared model testing accessible to students in introductory physics lab courses and others who need to learn this method, such as beginning researchers in astrophysics and particle physics, beginners in data science, and lab students in other experimental sciences. For over a decade, Harvard University's introductory physics lab sequence has made chi-squared model testing its central theme. Written by two faculty members, the book is based on years of experience teaching students learn how to think like scientists by testing their models using chi-squared analysis. By including uncertainties in the curve fitting technique, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those familiar with the material. The presentation of one and two parameter chi-squared model testing, requiring only elementary probability and algebra, is followed by case studies that apply the methods to simple introductory physics lab experiments. More challenging topics requiring calculus are addressed in an advanced topic chapter. This self-contained and student-friendly introduction includes a glossary, end of chapter problems with complete solutions, and software scripts available in several popular programming languages that the reader can use for chi-squared model testing.

Chi-Squared Data Analysis and Model Testing for Beginners

Chi-Squared Data Analysis and Model Testing for Beginners

Recent groundbreaking discoveries in physics, including the discovery of the Higgs Boson and gravitational waves, have relied on chi-squared analysis and model testing, a data analysis method. This is the first book to make chi-squared model testing accessible to students in introductory physics lab courses and others who need to learn this method, such as beginning researchers in astrophysics and particle physics, beginners in data science, and lab students in other experimental sciences. For over a decade, Harvard University's introductory physics lab sequence has made chi-squared model testing its central theme. Written by two faculty members, the book is based on years of experience teaching students learn how to think like scientists by testing their models using chi-squared analysis. By including uncertainties in the curve fitting technique, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those familiar with the material. The presentation of one and two parameter chi-squared model testing, requiring only elementary probability and algebra, is followed by case studies that apply the methods to simple introductory physics lab experiments. More challenging topics requiring calculus are addressed in an advanced topic chapter. This self-contained and student-friendly introduction includes a glossary, end of chapter problems with complete solutions, and software scripts available in several popular programming languages that the reader can use for chi-squared model testing.

Introduction to Statistical Methods in Modern Genetics

Introduction to Statistical Methods in Modern Genetics

Author: M.C. (University of Florida, Gainesville, USA) Yang Format: Paperback / softback Release Date: 05/09/2019

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entree into the rapidly expanding world of genetic data analysis.

A Numerical Primer for the Chemical Engineer, Second Edition

A Numerical Primer for the Chemical Engineer, Second Edition

Designed as an introduction to numerical methods for students, this book combines mathematical correctness with numerical performance, and concentrates on numerical methods and problem solving. It applies actual numerical solution strategies to formulated process models to help identify and solve chemical engineering problems. Second edition comes with additional chapter on numerical integration and section on boundary value problems in the relevant chapter. Additional material on general modelling principles, mass/energy balances and separate section on DAE's is also included. Case study section has been extended with additional examples.